🤖 AI Analysis

Final verdict: SAFE

The package adiumentum v0.8.11 has been assessed with a moderate risk score due to its low activity and potential for misuse through subprocess execution. However, there are no indications of malicious intent or harmful activities.

Low network and obfuscation risks.
Potential shell risk due to subprocess execution.

Per-check LLM notes

Network: No network calls detected, indicating low risk.
Shell: Subprocess execution is present but without evident malicious intent; however, it could be misused.
Obfuscation: No obfuscation patterns detected, indicating low risk.
Credentials: No credential harvesting patterns detected, indicating low risk.
Metadata: The package shows low activity and poor metadata quality, but there are no clear signs of malicious intent.

🔬 Heuristic Checks

✓ Outbound Network Calls

No suspicious network call patterns found

✓ Code Obfuscation

No obfuscation patterns detected

⚠ Shell / Subprocess Execution score 6.0

Found 3 shell execution pattern(s)

kwargs_["resolve"] return subprocess.run(list(map(str, commands)), **kwargs_) # noqa: PLW1510 def
s_.get("env", {})) return subprocess.run(list(map(str, commands_)), **kwargs_).stdout.decode().strip(
try: subproc_result = subprocess.run(list(map(str, commands_)), **kwargs_) # type: ignore # noq

✓ Credential Harvesting

No credential harvesting patterns detected

✓ Typosquatting

No typosquatting candidates detected

✓ Registered Email Domain

Email domain looks legitimate: proton.me>

✓ Suspicious Page Links

All external links appear legitimate

✓ Git Repository History

No GitHub repository linked

No GitHub repository link found

⚠ Maintainer History score 4.0

2 maintainer concern(s) found

Author "Isaac Riley" appears to have only 1 package on PyPI (new or inactive account)
Package has no PyPI classifiers (low effort / metadata quality)

✓ Known CVE Vulnerabilities

No known vulnerabilities found in OSV database.

💡 AI App Starter Prompt

Use this prompt to build a project with adiumentum

Create a Python-based utility application named 'TaskOrganizer' that leverages the 'adiumentum' package to manage and organize tasks efficiently. This application should allow users to create, update, delete, and categorize tasks. Additionally, it should provide functionality to filter and map tasks based on various criteria such as due dates, priority levels, and completion status.

The application should have a simple command-line interface where users can interact with the task management features. Here are the specific functionalities that need to be implemented:

1. **Task Creation**: Users should be able to add new tasks with a title, description, due date, priority level, and category.
2. **Task Deletion**: Provide a way to remove tasks from the system.
3. **Task Updates**: Allow updating any attribute of a task such as its title, description, due date, priority level, or category.
4. **Task Listing**: Display all tasks in a user-friendly format.
5. **Task Filtering**: Implement filtering capabilities to display tasks based on specific criteria like due date range, priority level, category, or completion status.
6. **Task Mapping**: Use 'adiumentum' functions to perform operations like mapping tasks to different categories or adjusting priorities across multiple tasks at once.
7. **User Interface**: Design a clean and intuitive command-line interface for easy interaction.

To utilize the 'adiumentum' package effectively, focus on the following aspects:
- Utilize `tmap`, `smap`, `lmap` for mapping tasks to different categories or adjusting their priorities.
- Use `tfilter`, `sfilter`, `lfil` for filtering tasks based on various criteria.
- Ensure type-specific operations are handled correctly to maintain data integrity and usability.

This project aims to demonstrate the versatility and power of the 'adiumentum' package in real-world applications while providing a practical tool for managing daily tasks.